boario 0.4.0b0

A Python implementation of ARIO models

BoARIO : The Adaptative Regional Input Output model in python.

What is BoARIO ?

BoARIO, is a python implementation project of the Adaptative Regional Input Output (ARIO) model [Hallegatte 2013].

Its objectives are to give an accessible and inter-operable implementation of ARIO, as well as tools to visualize and analyze simulation outputs and to evaluate the effects of many parameters of the model.

This implementation would not have been possible without the Pymrio module and amazing work of [Stadler 2021] !

It is still an ongoing project (in parallel of a PhD project).

Here is a non-exhaustive chronology of academic works with or about the ARIO model :

Where to get it ?

You can install BoARIO from pip with:

pip install boario

The full source code is also available on Github at: https://github.com/spjuhel/BoARIO

More info in the installation page of the documentation.

How does BoARIO work?

In a nutshell, BoARIO takes the following inputs :

• an IO table (such as EXIOBASE3 or EORA26) in the form of an IOSystem object (define by the pymrio package)

• simulation and mrio parameters (as json files or dictionaries), which govern the simulation,

• event(s) description(s) (as json files or dictionaries), which are used as the perturbation to analyse during the simulation

in order to produce the following outputs:

• the step by step, sector by sector, region by region evolution of most of the variables involved in the simulation (production, demand, stocks, …)

• aggregated indicators for the whole simulation (shortages duration, aggregated impacts, …)

Example of use

See boario-quickstart.

Credits

Associated PhD project

This model is part of my PhD on the indirect impact of extreme events. This work was supported by the French Environment and Energy Management Agency (ADEME).

Development

• Samuel Juhel

Contributions

• Be the first contributor !

Acknowledgements

I would like to thank Vincent Viguie, Fabio D’Andrea my PhD supervisors as well as Célian Colon for their inputs during the model implementaiton.